JP6194652B2 - Information processing system - Google Patents

Description

  The present invention relates to an information processing apparatus, an information processing system, an information processing method, and a program.

  2. Description of the Related Art Conventionally, for example, a technique for changing service contents according to a user's rank has been proposed for the purpose of improving user satisfaction in a financial institution or an administrative institution.

  For example, Patent Document 1 discloses a technique for guiding a customer to a dedicated customer window when the customer's superiority rank registered in association with the customer is equal to or higher than a certain rank. Patent Document 2 discloses a technique for changing the number of books to be lent and the lending period according to the rank of the user by setting rank information at the time of user registration.

JP2005-010849 JP-A-10-307871

  In addition, as a technology for changing the service contents according to the rank of the user, in the scene of lending the information processing terminal to the user who visited the facility, for example, information is provided only to highly profitable users having a specific rank Technology that lends processing terminals can also be considered. However, in this technique, the number of information processing terminals that remain without being lent out increases depending on the number of users who have visited the facility and have a specific rank, and thus profits from renting out information processing terminals are lost. On the other hand, if the information processing terminal is lent to all users who visit the facility, the usage rate of the information processing terminal improves, but the information processing terminal can be lent to a highly profitable user due to a shortage of information processing terminals. There is concern about disappearing.

  Therefore, the present invention has been made in view of the above problems, and the object of the present invention is a new and improved information processing terminal that can be efficiently lent out in terms of profits from renting. An information processing apparatus, an information processing system, an information processing method, and a program are provided.

In order to solve the above-described problem, according to an aspect of the present invention, there is provided a reception device and an information processing device, and the reception device is recorded in a barcode and a reception unit that receives a customer who has visited a facility. A bar code reading unit that reads information, and the information processing apparatus manages a lending information management unit that manages information related to a lending status of a plurality of information processing terminals lent to a customer visiting the facility, and When it is predicted that the number of terminals lent out will be insufficient, a lending determination unit that determines to lend the information processing terminal that has not been lent to a customer having a predetermined attribute, and the lending determination unit A communication unit that transmits information indicating permission to lend to the information processing terminal when it is determined that the information processing terminal can be lent to the information processing terminal. Information on rental status of the plurality of information processing terminals, wherein the barcode reading unit, wherein is updated based on the information read from the bar code displayed on the information processing terminal, an information processing system is provided The

  The case where the number of terminals is predicted to be insufficient may include a case where the number of unrented terminals confirmed by the lending information management unit is equal to or less than the remaining number reference value.

  The information processing apparatus includes: a customer number prediction unit that predicts the number of customers having the predetermined attribute that visit the facility based on past lending results; and the remaining number criterion based on a prediction result by the customer number prediction unit And a remaining number reference value determining unit that determines a value.

  The said remaining number reference value determination part may determine the said remaining number reference value so that it may become a value more than the number of persons estimated by the said customer number prediction part.

  When the number of terminals is predicted to be insufficient, the prediction period may include a busy period in which the number of customers visiting the facility is equal to or greater than a predetermined number.

  When it is predicted that the number of terminals will be insufficient, the lending determination unit may determine not to lend the unrented information processing terminal to a customer who does not have the predetermined attribute.

  As described above, according to the present invention, the information processing terminal can be efficiently lent out from the viewpoint of profits from renting.

It is explanatory drawing which showed the structure of the information processing system by the 1st Embodiment of this invention. It is explanatory drawing which showed the hardware constitutions of the management server by the embodiment. It is explanatory drawing which showed an example of the structure of the database by the embodiment. It is explanatory drawing which showed an example of the structure of the customer information table by the embodiment. It is explanatory drawing which showed an example of the structure of the terminal management table by the embodiment. It is explanatory drawing which showed an example of the structure of the rental performance table by the embodiment. It is the functional block diagram which showed the structure of the management server by the embodiment. It is the functional block diagram which showed the structure of the reception terminal by the embodiment. 6 is a flowchart showing an example of an operation of “prediction process of remaining number reference value” according to the embodiment. FIG. 7 is a sequence diagram showing a part of the operation of “lending processing” according to the embodiment. FIG. 7 is a sequence diagram showing a part of the operation of “lending processing” according to the embodiment. It is a flowchart which shows an example of operation | movement of the "lending determination process" by the same embodiment. It is the functional block diagram which showed the structure of the management server by the 2nd Embodiment of this invention. It is the flowchart which showed an example of the "prediction process of a busy period" by the same embodiment. It is a flowchart which shows an example of operation | movement of the "lending determination process" by the same embodiment.

  Exemplary embodiments of the present invention will be described below in detail with reference to the accompanying drawings. In addition, in this specification and drawing, about the component which has the substantially same function structure, duplication description is abbreviate | omitted by attaching | subjecting the same code | symbol.

Further, the “DETAILED DESCRIPTION OF THE INVENTION” will be described according to the following item order.
1. 1. Basic configuration of information processing system 2. Detailed description of embodiments 2-1. First embodiment 2-2. Second embodiment 3. Modified example

<1. Basic Configuration of Information Processing System>
The present invention can be implemented in various forms as described in detail in “2-1. First Embodiment” to “2-2. Second Embodiment” as an example. In the following, first, a basic configuration of an information processing system common to each of such embodiments will be described with reference to FIG.

  As shown in FIG. 1, the information processing system according to the present embodiment includes a management server 10 (information processing apparatus), a communication network 12, a database 20, a reception terminal 30 (reception apparatus), a wireless AP 32, and an information processing terminal 40. Including. In the following description, the information processing system according to the present embodiment will be described mainly with reference to an example in which the information processing system is applied to a financial institution including the center 2 and the sales office 4 (facility). However, the present invention is not limited to such an example, and the information processing system according to the present embodiment can be widely applied to, for example, government agencies, hospitals, mobile phone stores, and the like.

[1-1. Management server 10]
The management server 10 is a device for managing customer information and the lending status of the information processing terminal 40 lent to the customer. The management server 10 has a hardware configuration as shown in FIG.

  As shown in FIG. 2, the management server 10 includes a CPU (Central Processing Unit) 150, a ROM (Read Only Memory) 152, a RAM (Random Access Memory) 154, an internal bus 156, an input / output interface 158, and an HDD (Hard Disk). Drive) 160 and network interface 162.

  CPU150 is comprised as an example of the control part 100 mentioned later, for example. The CPU 150 functions as an arithmetic processing unit and a control unit, and controls the overall operation in the management server 10 according to various programs. The CPU 150 may be a microprocessor.

  The ROM 152 stores programs used by the CPU 150, calculation parameters, and the like. The RAM 154 temporarily stores programs used in the execution of the CPU 150, parameters that change as appropriate during the execution, and the like. The CPU 150, the ROM 152, and the RAM 154 are connected to each other by an internal bus 156 that includes a CPU bus or the like.

  The input / output interface 158 connects the HDD 160 and the network interface 162 to the internal bus 156. For example, the HDD 160 exchanges data with the RAM 154 or the like via the input / output interface 158 and the internal bus 156.

  The HDD 160 is a data storage device configured as an example of a storage unit 122 described later. The HDD 160 may include a storage medium, a recording device that records data on the storage medium, a reading device that reads data from the storage medium, a deletion device that deletes data recorded on the storage medium, and the like. The HDD 160 stores programs executed by the CPU 150 and various data.

  The network interface 162 is a communication interface configured by, for example, a communication device for connecting to the communication network 12, and is configured as an example of the communication unit 120 described later. The network interface 162 may be a wireless LAN compatible communication device, an LTE (Long Term Evolution) compatible communication device, or a wire communication device that performs wired communication.

[1-2. Communication network 12]
The communication network 12 is a wired or wireless transmission path for information transmitted from a device connected to the communication network 12. For example, the communication network 12 may include a public line network such as a telephone line network, the Internet, a satellite communication network, various local area networks (LANs) including the Ethernet (registered trademark), a wide area network (WAN), and the like. . Further, the communication network 12 may include a dedicated line network such as an IP-VPN (Internet Protocol-Virtual Private Network).

[1-3. Database 20]
The database 20 is a device in which customer information, information related to the rental status of the information processing terminal 40, and the like are recorded. As shown in FIG. 3, the database 20 includes a customer information table 200, a terminal management table 202, and a lending record table 204.

(1-3-1. Customer information table 200)
The customer information table 200 is a table in which customer information of each customer is recorded. Here, a configuration example of the customer information table 200 will be described with reference to FIG. As shown in FIG. 4, in the customer information table 200, for example, account number 2000, name 2002, age 2004, gender 2006, Internet banking registration presence / absence 2008, and customer type 2010 are recorded in association with each other. Here, in the account number 2000, the account number of the account owned by the customer is recorded. In addition, in the Internet banking registration presence / absence 2008, the registration status of the customer to Internet banking is recorded. In the customer type 2010, a distinction between whether the customer is a good customer or a general customer is recorded.

  For example, in the data of the first record in FIG. 4, the account number of the account held by the customer is “0001”, the name of the customer is “Taro Oki”, the age is “40 years old”, and the gender is “male” ”And“ registered ”in Internet banking, indicating“ good customer ”.

(1-3-2. Terminal management table 202)
The terminal management table 202 is a table in which the lending status of the information processing terminal 40 is recorded. Here, a configuration example of the terminal management table 202 will be described with reference to FIG. As shown in FIG. 5, in the terminal management table 202, for example, a terminal management number 2020, a lending status 2022, a customer name 2024, and a lending time 2026 are recorded in association with each other. Here, in the terminal management number 2020, an identification number assigned to the information processing terminal 40 is recorded. In the lending status 2022, whether or not the information processing terminal 40 is being lent is recorded. In the customer name 2024, the name of the customer from whom the information processing terminal 40 is lent is recorded. In the rental time 2026, the time when the information processing terminal 40 is lent is recorded.

  For example, in the data of the first record in FIG. 5, the terminal management number of the information processing terminal 40 is “1001”, and is currently “rented” to a customer named “Taro Oki”, and the lending time is “9: 30 ".

(1-3-3. Lending results table 204)
The lending record table 204 is a table in which the lending record of the information processing terminal 40 is recorded. Here, a configuration example of the lending record table 204 will be described with reference to FIG. As shown in FIG. 6, in the lending record table 204, for example, a lending date 2040, a lending time 2042, a return time 2044, and a customer name 2046 are recorded in association with each other. Here, in the lending date 2040, the date when the information processing terminal 40 was lent to the customer is recorded. In the lending time 2042, the time when the target information processing terminal 40 is lent to the customer is recorded. Further, the return time 2044 records the time when the target information processing terminal 40 is returned. In the customer name 2046, the name of the customer from whom the target information processing terminal 40 has been lent is recorded.

  For example, in the data of the first record in FIG. 6, the lending date is “June 3, 2013 (Monday)”, the lending time is “9:30”, and the return time is “9:35”. This indicates that the name of the lent customer is “Ichiro Tanaka”.

  Note that the database 20 can also be configured as part of a CRM (Customer Relationship Management) system. Alternatively, only the customer information table 200 may not be included in the database 20 but may be included in another device having a CRM system.

[1-4. Reception terminal 30]
The reception terminal 30 is a dedicated terminal for customer reception installed in the sales office 4. A customer who has arrived at the sales office 4 can register to obtain a calling number by, for example, an operation on a touch panel provided in the reception terminal 30.

[1-5. Wireless AP32]
The wireless AP 32 is a wireless device for connecting a wireless terminal such as the information processing terminal 40 to the communication network 12 in the sales office 4. The wireless AP 32 performs wireless communication in accordance with a standard such as IEEE 802.11a / b / g / n.

[1-6. Information processing terminal 40]
The information processing terminal 40 is a portable terminal that is lent to a customer. The information processing terminal 40 includes, for example, a touch panel that displays a display screen or receives a user input, a network interface for performing wireless communication, and the like. The customer can input information related to a desired transaction by operating the information processing terminal 40, for example. The information processing terminal 40 may be a tablet terminal, for example.

  Note that the information processing system according to the present embodiment is not limited to the configuration described above. For example, instead of being configured as an independent device, the database 20 may be stored in the storage unit 122 of the management server 10 described later or another device. Further, the management server 10 may be installed in the sales office 4 instead of being installed in the center 2.

[1-7. Organize issues]
By the way, in embodiment of this invention, it assumes that the information processing terminal 40 is lent out to all the customers who visited the sales office 4 in principle.

(1-7-1. Comparative Example of the Present Invention)
As a comparative example of the present invention, a method of lending the information processing terminal 40 to a customer in the order of visiting the sales office 4 can be considered. In this comparative example, the information processing terminal 40 is lent without distinguishing between a customer with a high lending effect such as a good customer or a customer who wants to use the information processing terminal and a general customer with a low lending effect. For this reason, when the number of customers visiting the store is larger than the number of inventory of the information processing terminal 40, there is a problem that the information processing terminal 40 is insufficient even if a customer with a high lending effect comes to the store and cannot be lent.

  Accordingly, the management server 10 according to the embodiment of the present invention has been created with the above circumstances in mind. The management server 10 can lend the information processing terminal 40 efficiently from the viewpoint of profits from lending. Hereinafter, such an embodiment of the present invention will be described in detail.

<2. Detailed Description of Embodiment>
[2-1. First Embodiment]
(2-1-1. Configuration)
(2-1-1-1. Management Server 10)
Next, the configuration according to the first embodiment will be described in detail. FIG. 7 is a functional block diagram showing the configuration of the management server 10 according to the first embodiment. As illustrated in FIG. 7, the management server 10 includes a control unit 100, a communication unit 120, and a storage unit 122. The control unit 100 also includes a lending information management unit 102, a customer number prediction unit 104, a remaining number reference value determination unit 106, and a lending determination unit 108.

-Control unit 100-
The control unit 100 has a function of generally controlling the operation of the management server 10 using hardware such as the CPU 150 and the RAM 154 built in the management server 10. For example, the control unit 100 controls operations of the communication unit 120 and the storage unit 122.

-Lending information management unit 102-
The lending information management unit 102 manages information related to the lending status of the information processing terminal 40. For example, the lending information management unit 102 refers to the terminal management table 202 and confirms the number of unrented terminals in the sales office 4.

-Number of customers forecasting unit 104-
The customer number predicting unit 104 predicts the number of customers having a predetermined attribute visiting the sales office 4 based on, for example, past lending results recorded in the lending result table 204. Here, the customer having the predetermined attribute may be a good customer who has been certified by a financial institution, a customer who is used to operating the information processing terminal 40, or a customer who wants to use the information processing terminal 40. A good customer is a customer who is expected to have high profitability for a financial institution, for example, a deposit of 10 million yen or more, a large transaction recently, or a high transaction frequency.

-Remaining number reference value determination unit 106-
The remaining number reference value determination unit 106 determines the remaining number reference value based on the prediction result by the customer number prediction unit 104. This remaining number reference value is, in principle, a reference value for the number of terminals necessary for lending the information processing terminal 40 to all customers who have predetermined attributes who visit the sales office 4. The remaining number reference value may be a predetermined value. Further, the remaining number reference value determining unit 106 may determine the remaining number reference value so as to be a value equal to or greater than the number of customers having a predetermined attribute predicted by the customer number predicting unit 104.

-Lending decision unit 108-
The lending determination unit 108 determines to lend the unlending information processing terminal 40 to a customer having a predetermined attribute when it is predicted that the number of terminals lending to the customer will be insufficient. In addition, the lending determination unit 108 can determine not to lend the unlending information processing terminal 40 to a customer who does not have a predetermined attribute when it is predicted that the number of lending terminals will be insufficient. It is. Here, as a case where the number of terminals to be lent is predicted to be insufficient, for example, a case where the number of unrented terminals confirmed by the lending information management unit 102 is equal to or less than the remaining number reference value can be considered.

  According to this determination method, in a situation where the number of terminals to be rented is expected to be short, the information processing terminal 40 is lent only to customers who have a high renting effect, such as excellent customers or customers who are used to operations. 40 can be lent efficiently.

-Communication unit 120-
The communication unit 120 transmits and receives information to and from various devices connected to the communication network 12 via the communication network 12, for example. For example, when the lending determination unit 108 determines not to permit lending, the communication unit 120 transmits information indicating that lending is not permitted to the reception terminal 30.

-Storage unit 122-
The storage unit 122 stores various software such as an application for managing the database 20 and various data, for example. As described above, the storage unit 122 can also store the database 20.

  According to the first embodiment, the computer program for causing the hardware such as the CPU 150, the ROM 152, and the RAM 154 built in the management server 10 to perform the same functions as the components of the management server 10 described above is also provided. Can be provided. A storage medium storing the computer program is also provided.

  The configuration of the management server 10 according to the first embodiment has been described above, but is not limited to the configuration described above. For example, any one or more of the communication unit 120 and the storage unit 122 may not be included in the management server 10 and may be provided in another device.

(2-1-1-2. Reception terminal 30)
Next, the configuration of the reception terminal 30 according to the first embodiment will be described. FIG. 8 is a functional block diagram showing the configuration of the reception terminal 30. As illustrated in FIG. 8, the reception terminal 30 includes a control unit 300, a communication unit 310, an operation display unit 312, a passbook mechanism unit 314, a card mechanism unit 316, and a barcode reading unit 318. In addition, the control unit 300 includes a reception unit 302.

-Control unit 300-
The control unit 300 has a function of generally controlling the operation of the reception terminal 30 using hardware such as a CPU and a RAM built in the reception terminal 30. For example, the control unit 300 controls the operation of each component such as the communication unit 310.

-Reception unit 302-
The reception unit 302 performs reception processing for a customer who has visited the sales office 4 based on, for example, reading a cash card by a card mechanism unit 316 described later.

-Communication unit 310-
The communication unit 310 transmits / receives information to / from various devices connected to the communication network 12 via the communication network 12, for example. For example, the communication unit 310 transmits the account number of the cash card read by the card mechanism unit 316 described later to the management server 10.

-Operation display unit 312-
The operation display unit 312 includes a function as a display unit that displays a guidance screen for an operation by a customer and a customer operation unit that detects a customer operation. The function as the display unit is realized by, for example, a CRT (Cathode Ray Tube) display device, a liquid crystal display (LCD) device, or an OLED (Organic Light Emitting Diode) device. Moreover, the function as a customer operation part is implement | achieved by the touch panel, for example.

-Passbook mechanism part 314-
The bankbook mechanism unit 314, for example, reads out recorded contents, records transaction information, and the like with respect to a bankbook inserted by a customer with respect to a bankbook insertion port (not shown) provided in the reception terminal 30, according to an instruction from the control unit 300. Performs various operations such as bankbook discharge.

-Card mechanism part 316-
The card mechanism unit 316 reads and writes data recorded on a magnetic stripe of a card inserted into a card insertion slot (not shown) provided in the reception terminal 30 or an IC (Integrated Circuit) chip.

-Barcode reading unit 318-
The barcode reading unit 318 has a function of reading information recorded on the barcode by imaging the barcode displayed on the display of the information processing terminal 40, for example.

(2-1-2. Operation)
(2-1-2-1. Prediction processing of remaining number reference value)
The configuration according to the first embodiment has been described above. Subsequently, an operation according to the first embodiment will be described. First, the operation of the remaining number reference value prediction process will be described with reference to FIG. In principle, the remaining number reference value prediction process is performed as a pre-process of a “lending process” to be described later.

  As illustrated in FIG. 9, first, the remaining number reference value determination unit 106 refers to, for example, the rental record table 204 and calculates the number of customers having a predetermined attribute in the record period (S101). Next, the customer number prediction unit 104 predicts the number of customers having a predetermined attribute in the prediction period based on the calculation result of S101 (S102). Here, the forecast period is a period arbitrarily determined by the manager of the financial institution, for example, the time zone of today from 13:00 to 14:00 or the time zone of 9:00 to 10:00 tomorrow. Also good. In addition, the actual period may be a period determined in advance in association with the prediction period, such as the same time period on the same day of the previous year of the prediction period, or the same time period on the same day of the same month as the previous month of the prediction period.

  Thereafter, the remaining number reference value determination unit 106 determines the remaining number reference value so that the number of persons is equal to or greater than the number of people predicted by the customer number prediction unit 104 (S103). According to this determination method, since the number of customers having a predetermined attribute in the forecast period is predicted with reference to the past actual value, the difference between the actual number of customers of the customer having the predetermined attribute can be as small as possible. The remaining number reference value can be determined to be smaller.

(2-1-2-2. Lending process)
Next, the operation of the lending process according to the first embodiment will be described with reference to FIG. FIG. 10 is a sequence diagram showing a part of the operation of the lending process according to the first embodiment. As shown in FIG. 10, first, the customer who arrives at the sales office 4 inserts a cash card or a passbook into the reception terminal 30 (S201).

  Subsequently, the card mechanism unit 316 or the passbook mechanism unit 314 reads customer account information from the inserted cash card or passbook. Then, the communication unit 310 transmits the read account information to the management server 10 (S202). Note that the communication unit 310 may further transmit, for example, a password input to the operation display unit 312 by the customer to the management server 10.

  Subsequently, the control unit 100 of the management server 10 authenticates the customer based on the account information received from the reception terminal 30 (S203). When the customer is not authenticated (S203: No), the control unit 100 causes the communication unit 120 to transmit an authentication failure message to the reception terminal 30. Then, the reception terminal 30 repeats the operation of S201 again.

  On the other hand, when the customer is authenticated (S203: Yes), the control unit 100 determines which customer segment the customer belongs to (S204). For example, the control unit 100 determines whether the customer is a good customer or a general customer based on the customer type 2010 recorded in the customer information table 200. Further, the control unit 100 determines whether or not the customer is a customer familiar with the operation based on information such as the age 2004 recorded in the customer information table 200 and the Internet banking registration presence / absence 2008. For example, the control unit 100 determines that the customer is not familiar with the operation when the customer is elderly. Further, the control unit 100 determines that the customer is accustomed to the operation when the customer is registered in Internet banking.

  Subsequently, the control unit 100 performs “lending determination processing” to be described later (S205).

  Next, operations after S205 will be described with reference to FIG. After S205, the control unit 100 of the management server 10 determines whether or not the information processing terminal 40 can be lent to the customer based on the determination result in S205 (S211).

  When it is determined that the information processing terminal 40 cannot be lent to the customer (S211: No), the communication unit 120 transmits information indicating that the rental is not permitted to the reception terminal 30. Subsequently, the operation display unit 312 of the reception terminal 30 displays a display indicating that the rental is not permitted on the display screen (S212). Thereafter, the reception terminal 30 ends the process.

  On the other hand, when it is determined that the information processing terminal 40 can be lent to the customer (S211: Yes), the communication unit 120 transmits information indicating rent permission to the information processing terminal 40 lent to the customer. (S213).

  Subsequently, the person in charge of the sales office 4 lends the information processing terminal 40 to the customer. Thereafter, the customer operates the information processing terminal 40 to display a barcode on the display screen (S214). The bar code includes information indicating that the information processing terminal 40 has been lent.

  Thereafter, the customer brings the information processing terminal 40 close to the barcode reading unit 318 of the reception terminal 30. Then, the barcode reading unit 318 reads the barcode displayed on the information processing terminal 40 (S215).

  Subsequently, the communication unit 310 transmits the information read from the barcode to the management server 10 (S216). Then, based on the information received from the receiving terminal 30, the control unit 100 of the management server 10 sets the value of the lending status 2022 corresponding to the corresponding information processing terminal 40 to “lending”, for example. The table 202 is updated (S217).

  Subsequently, the control unit 100 transmits a transaction screen for inputting transaction information to the information processing terminal 40 (S218).

  Subsequently, the information processing terminal 40 displays the transaction screen received from the management server 10 (S219). Thereafter, the customer inputs transaction information on the transaction screen.

(2-1-2-3. Lending judgment process)
Next, with reference to FIG. 12, the operation of “lending determination processing” in S205 will be described in detail. As shown in FIG. 12, the lending determination unit 108 of the management server 10 first determines whether or not the number of unrented terminals confirmed by the lending information management unit 102 is equal to or less than the remaining number reference value (S301). ).

  When it is determined that the number of unrented terminals is not less than the remaining number reference value (S301: No), the lending determination unit 108 performs the operation of S303 described later.

  On the other hand, if it is determined that the number of unrented terminals is equal to or less than the remaining number reference value (S301: Yes), the lending determination unit 108 determines that the customer has a predetermined attribute based on the determination result in S204. It is determined whether or not (S302).

  When the customer is a customer having a predetermined attribute (S302: Yes), the lending determination unit 108 determines to lend the information processing terminal 40 to the customer (S303). On the other hand, if the customer is not a customer having a predetermined attribute (S302: No), the lending determination unit 108 determines not to lend the information processing terminal 40 to the customer (S304).

(2-1-3. Effect)
As described above, for example, as described with reference to FIGS. 7, 10 to 12, etc., the management server 10 according to the first embodiment includes a plurality of information processing terminals 40 that are lent to customers visiting the sales office 4. Information on the lending status is managed, and when the number of unrented terminals is equal to or less than the remaining number reference value, it is determined to lend the unrented information processing terminal 40 to a customer having a predetermined attribute. For this reason, in a situation where the number of terminals to be lent is expected to be insufficient, the information processing terminal 40 is lent only to customers who have a high renting effect, such as good customers or customers who are used to operation, so the information processing terminal 40 can be efficiently used. Can be lent to.

  For example, a financial institution can be expected to obtain higher profits by lending the information processing terminal 40 limited to excellent customers. In addition, customers who are accustomed to the operation generally prefer to operate the information processing terminal 40 rather than to fill out the paper application form. The degree can be expected to improve.

[2-2. Second Embodiment]
The first embodiment has been described above. As described above, in the first embodiment, when the number of unrented terminals is equal to or less than the remaining number reference value, the management server 10 sets the information processing terminal 40 that has not been lent to a customer having a predetermined attribute. Decide to lend. As will be described next, according to the second embodiment, the management server 10 lends an unrented information processing terminal 40 to a customer having a predetermined attribute when the prediction period is a busy period. To decide.

(2-2-1. Configuration)
(2-2-1-1. Management Server 10)
First, the configuration according to the second embodiment will be described in detail. FIG. 13 is a functional block diagram showing the configuration of the management server 10 according to the second embodiment. As illustrated in FIG. 13, the management server 10 according to the second embodiment newly includes a busy period prediction unit 110 instead of including the remaining number reference value determination unit 106 as compared with the first embodiment. Including.

-Lending decision unit 108-
The lending determination unit 108 according to the second embodiment determines to lend the unrented information processing terminal 40 to a customer having a predetermined attribute when the prediction period is a busy period. Here, the busy period is a period in which the number of customers visiting the sales office 4 is a predetermined number or more, for example, the average number of customers in the past performance. According to this determination method, when the busy period is predicted in advance, the information processing terminal 40 is lent only to customers who have a high lending effect, so information processing is performed on almost all customers who have a high lending effect. The terminal 40 can be lent out. For this reason, the information processing terminal 40 can be lent efficiently.

-Busy period prediction unit 110-
The busy period prediction unit 110 predicts whether or not the prediction period is a busy period. Details of the function of the busy period prediction unit 110 will be described later.

  The functions of the constituent elements other than those described above are the same as those in the first embodiment.

(2-2-1-2. Reception terminal 30)
The configuration of the reception terminal 30 according to the second embodiment is the same as that of the first embodiment. Therefore, the description is omitted here.

(2-2-2. Operation)
(2-2-1. Predictive processing of busy period)
The configuration according to the second embodiment has been described above. Subsequently, an operation according to the second embodiment will be described. First, the “busy period prediction process” will be described with reference to FIG. The “busy period prediction process” is a process performed instead of the “remaining number reference value prediction process” according to the first embodiment. The “busy period prediction process” is performed as a pre-process of the “lending process” in principle.

  As illustrated in FIG. 14, first, the busy period prediction unit 110 refers to, for example, the lending record table 204 and calculates the number of customers of the customer during the record period (S401). Next, the customer number prediction unit 104 predicts the number of customers of the customer during the prediction period based on the calculation result of S401 (S402).

  Subsequently, the busy period prediction unit 110 determines whether or not the number of visitors predicted in S402 is equal to or greater than a predetermined number (S403). When the predicted number of visitors is greater than or equal to the predetermined number (S403: Yes), the busy period prediction unit 110 predicts that the predicted period is a busy period (S404). On the other hand, when the predicted number of visitors is less than the predetermined number (S403: No), the busy period prediction unit 110 predicts that the predicted period is not a busy period (S405).

(2-2-2-2. Lending process)
The “lending process” according to the second embodiment is substantially the same as the “lending process” according to the first embodiment shown in FIGS. Therefore, the description is omitted here.

(2-2-2-3. Lending judgment process)
Next, with reference to FIG. 15, the operation of “lending determination processing” in S205 will be described in detail. As shown in FIG. 15, first, the lending determination unit 108 of the management server 10 determines whether or not the prediction period is a busy period based on the prediction result by the busy period prediction unit 110 (S501).

  When it is determined that the prediction period is not a busy period (S501: No), the lending determination unit 108 performs the operation of S503 described later.

  On the other hand, when it is determined that the prediction period is not the busy period (S501: Yes), the lending determination unit 108 determines whether the customer is a customer having a predetermined attribute as in S302 ( S502).

  The operations in S503 to S504 are the same as the operations in S303 to S304 according to the first embodiment.

(2-2-3. Effect)
As described above, for example, as described with reference to FIGS. 13 to 15 and the like, the management server 10 according to the second embodiment sets the information processing terminal 40 that has not been rented to a predetermined value when the prediction period is a busy period. Decide to lend to customers with attributes. For this reason, when it is predicted that it is a busy period in advance, the information processing terminal 40 is lent only to customers who have a high lending effect, so the information processing terminal 40 is lent to almost all of the customers who have a high lending effect. be able to. For this reason, the information processing terminal 40 can be efficiently lent out from the viewpoint of the profit by renting.

  In addition, when it is predicted that it is not a busy period in advance, the management server 10 is generally uniform for customers who have visited the sales office 4 regardless of whether or not the customer has a predetermined attribute. The information processing terminal 40 is decided to be lent out. Therefore, in principle, since the information processing terminal 40 is lent to all customers who have visited the sales office 4, the information processing terminal 40 can be lent without waste.

<3. Modification>
Although the preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, the present invention is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field to which the present invention pertains can come up with various changes or modifications within the scope of the technical idea described in the claims. Of course, it is understood that these also belong to the technical scope of the present invention.

  For example, instead of the prediction method illustrated in FIG. 14, the busy period prediction unit 110 predicts whether or not the prediction period is a busy period based on whether or not the actual period associated with the prediction period is a busy period. May be. More specifically, the busy period prediction unit 110 predicts that the predicted period is a busy period when the actual period is the busy period, and predicts when the actual period is not the busy period. It may be predicted that the period is not a busy period.

  Further, the “busy period prediction process” according to the second embodiment is not limited to the example illustrated in FIG. 14. For example, the busy period prediction unit 110 may predict whether or not the prediction period is a busy period based on the number of customers who have a predetermined attribute. More specifically, in S401, the busy period prediction unit 110 refers to the lending performance table 204 and calculates the number of customers having a predetermined attribute in the performance period. In step S402, the customer number prediction unit 104 predicts the number of customers having a predetermined attribute in the prediction period based on the calculation result in step S401. In S403, the busy period predicting unit 110 predicts that the predicted period is a busy period when the number of visitors of the customer having the predetermined attribute predicted in S402 is equal to or larger than the predetermined number. If the number of customers having a predetermined attribute is less than the predetermined number, it may be predicted that the prediction period is not a busy period.

2 Center 4 Branch 10 Management server 12 Communication network 20 Database 30 Reception terminal 32 Wireless AP
40 Information processing terminal 100 Control unit 102 Lending information management unit 104 Customer number prediction unit 106 Remaining number reference value determination unit 108 Lending determination unit 110 Busy period prediction unit 120 Communication unit 122 Storage unit 150 CPU
152 ROM
154 RAM
156 Internal bus 158 I / O interface 160 HDD
162 Network interface 200 Customer information table 202 Terminal management table 204 Lending result table 300 Control unit 302 Reception unit 310 Communication unit 312 Operation display unit 314 Passbook mechanism unit 316 Card mechanism unit 318 Bar code reading unit

Claims (6)

A reception device and an information processing device;
The accepting device is:
A receiving unit for receiving a customer who visited the facility,
A barcode reader for reading information recorded in the barcode;
With
The information processing apparatus includes:
A lending information management unit for managing information on lending status of a plurality of information processing terminals lending to customers who visit the facility;
A lending determination unit that determines to lend an unlending information processing terminal to a customer having a predetermined attribute when the number of terminals lending to a customer is predicted to be insufficient;
A communication unit that transmits information indicating lending permission to the information processing terminal when the lending determination unit determines that the information processing terminal can be lent to the customer;
Equipped with a,
The information processing system in which the information on the lending status of the plurality of information processing terminals is updated by the barcode reading unit based on information read from the barcode displayed on the information processing terminal . The information processing system according to claim 1, wherein when the number of terminals is predicted to be insufficient, the information processing system according to claim 1, including a case where the number of unrented terminals confirmed by the lending information management unit is equal to or less than a remaining number reference value . The information processing apparatus predicts the number of customers having the predetermined attribute that visits the facility based on past rental results;
The information processing system according to claim 2, further comprising: a remaining number reference value determination unit that determines the remaining number reference value based on a prediction result by the customer number prediction unit . The information processing system according to claim 3, wherein the remaining number reference value determining unit determines the remaining number reference value so as to be equal to or greater than the number of people predicted by the customer number predicting unit . The case where it is predicted that the number of terminals is insufficient includes the case where the prediction period is a busy period in which the number of customers visiting the facility is equal to or greater than a predetermined number. The information processing system described . The lending determination unit determines not to lend the unlending information processing terminal to a customer who does not have the predetermined attribute when the number of terminals is predicted to be insufficient. Information processing system as described in any one of -5 .

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